Publication Date
Fall 2012
Degree Type
Master's Project
Degree Name
Master of Science (MS)
Department
Computer Science
Abstract
In this paper, we consider the problem of masquerade detection based on a UNIX system. A masquerader is an intruder who tries to remain undetected by impersonating a legitimate user. Masquerade detection is a special case of the general intrusion detection problem. We have collected data from a large number of users. This data includes infor- mation on user commands and a variety of other aspects of user behavior that can be used to construct a profile of a given user. Hidden Markov models have been used to train user profiles, and the various attack strategies have been analyzed. The results are compared to a standard dataset that offers a more limited view of user behavior.
Recommended Citation
Mahajan, Amruta, "Masquerade Detection Based On UNIX Commands" (2012). Master's Projects. 273.
DOI: https://doi.org/10.31979/etd.x966-jrj6
https://scholarworks.sjsu.edu/etd_projects/273
